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How to Use the Zealy MCP in CrewAI

Build autonomous Zealy operations with CrewAI's collaborative MCP Server agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Zealy MCP on Cursor AI Code Editor MCP Client Zealy MCP on Claude Desktop App MCP Integration Zealy MCP on OpenAI Agents SDK MCP Compatible Zealy MCP on Visual Studio Code MCP Extension Client Zealy MCP on GitHub Copilot AI Agent MCP Integration Zealy MCP on Google Gemini AI MCP Integration Zealy MCP on Lovable AI Development MCP Client Zealy MCP on Mistral AI Agents MCP Compatible Zealy MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
CrewAI

Connect Zealy MCP to CrewAI

Create your Vinkius account to connect Zealy to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Automate Community Moderation

A specialized agent handles moderation tasks. You can use `review_submission` to approve or reject claimed quests, moving them through a defined workflow. If necessary, an agent can also ban disruptive members using `ban_user`. This role-based specialization means you build the entire process—from submission review to enforcement.

Build Out Community Structure

The MCP Server lets your agents create entirely new content. Run `create_quest` to add a new objective or use `list_quests` to audit existing ones. If you need something super exclusive, `create_secret` adds it instantly. This level of control means the team can build out the game structure without manual intervention.

Monitor Community Metrics with CrewAI MCP Server

Agents read community status using tools like `get_community` or checking current efforts via `get_leaderboard`. Need to see what's available? Run `list_modules` to get a full list of categories. This makes the monitoring agent highly effective, providing context for every decision it makes.

Setup guide

Set up Zealy MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Zealy tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Zealy Analyst",
    goal="Access and analyze Zealy data via MCP.",
    backstory="Expert analyst with direct Zealy access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Zealy transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Zealy MCP in CrewAI

The agent uses `get_referral_code` to fetch a user's unique code. This allows your crew of agents to track and verify growth metrics automatically.
The server manages User Details (ID, handles), XP amounts, Community IDs, Quest objects, and webhook configurations. This full scope supports complex, multi-step operations.
Yes. The `get_user` tool fetches all necessary details for a specific user ID, giving the agent the full context needed to make decisions or update records.
It does. You'll use `create_webhook` and `delete_webhook` to programmatically manage external notifications, ensuring that other systems know when a key community event occurs.
You run the `list_secrets` tool. This instantly retrieves all configured secrets, allowing your autonomous agents to understand what hidden data exists in the community.

Start using the Zealy MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 23 tools

We've already built the connector for Zealy. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 23 tools are live and waiting. You're up and running in seconds.

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